Description

You will design and build scalable AI-driven applications using Python and Generative AI technologies, focusing on RAG systems and cloud integration.

This role is hybrid.

Responsibilities

• Design and develop scalable applications using Python and SQL.
• Implement Generative AI solutions leveraging modern AI frameworks.
• Build and maintain Retrieval-Augmented Generation (RAG) systems for AI-powered applications.
• Develop prompt engineering strategies to improve GenAI model outputs.
• Deploy and manage AI workloads using AWS, Docker, and DevOps pipelines.

Required Skills

• 5+ years of hands-on experience in Python development.
• Strong proficiency in SQL for data processing and analysis.
• Hands-on experience in Generative AI development using Python.
• Proven experience building Retrieval-Augmented Generation (RAG) based AI systems.
• Strong knowledge of prompt engineering and GenAI model interaction.
• Experience with AWS cloud services.
• Experience with containerization technologies such as Docker.
• Familiarity with DevOps practices and CI/CD pipelines.

Preferred Skills

• Experience using LangChain for building AI agents and GenAI workflows.
• Experience designing enterprise-level AI applications.
• Exposure to AI/ML model lifecycle management and deployment frameworks.

Key Skills

Education

Any Graduate